Michael H. Wimmer

Computer Vision and Pattern Recognition · 2003–2018

A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Michael H. Wimmer trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yasutaka Furukawa
  2. R. Lutchyn
  3. Jana Kosecka

Who trusts Michael H. Wimmer overall

  1. Pascal Müller
  2. C. Beenakker
  3. A. Vuik
  4. Virginia Dal Lago
  5. Dmitry I. Pikulin
  6. Mehmet Ersin Yümer
  7. Mark J. C. Hendrikx
  8. F. Evers

Papers from Michael H. Wimmer's perspective

Ordered by how strongly the researchers Michael H. Wimmer trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Multiple View Geometry in Computer Vision
  3. ImageNet classification with deep convolutional neural networks
  4. A Combined Corner and Edge Detector
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Poisson surface reconstruction
  7. Real-Time Plane-Sweeping Stereo with Multiple Sweeping Directions (2007 IEEE Conference on Computer Vision and Pattern Recognition)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Γ and B
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers